Paper Reviews
Accessible summaries of significant AI papers.
Paper Review: The Wrong Kind of AI?
Paper: Daron Acemoglu. "Harms of AI." Cambridge Journal of Economics , 2021. Link: Cambridge
Paper Review: GPTs Are GPTs — AI Exposure and Labor Market Impact
Paper: Tyna Eloundou, Sam Manning, Pamela Mishkin, and Daniel Rock. "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models." arXiv preprint , 2023. Published by OpenAI and the University of Pennsylvania. Link: arXiv
Paper Review: The AI Index Report 2025
Report: Stanford University Human-Centered Artificial Intelligence (HAI). "Artificial Intelligence Index Report 2025." April 2025. Links: AI Index | Full Report PDF
Book Review: Atlas of AI
Book: Kate Crawford. Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Yale University Press, 2021. Link: Yale University Press
Book Review: Automating Inequality
Book: Virginia Eubanks. Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. St. Martin's Press, 2018. Link: Macmillan
Paper Review: Datasheets for Datasets
Paper: Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé III, and Kate Crawford. "Datasheets for Datasets." Communications of the ACM , 2021. Link: arXiv
Paper Review: The Distributional Effects of AI
Papers: Anton Korinek & Megan Juelfs. "Preparing for the (Non-Existent?) Future of Work." Brookings , 2023. Anton Korinek. "Generative AI for Economic Research: Use Cases and Implications for Economists." Journal of Economic Literature , 2023. Anton Korinek. "Scenario Planning for an A(G)I Future." IMF Working Paper , 2024. Links: Brookings | NBER | IMF
Article Review: Engels' Pause and the Permanent Underclass
Article: Doug O'Laughlin. "Engels' Pause and the Permanent Underclass." Fabricated Knowledge (Substack), April 16, 2026. Link: Fabricated Knowledge
Paper Review: Gender Shades
Paper: Joy Buolamwini & Timnit Gebru. "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification." Proceedings of Machine Learning Research , 2018. Link: MLR
Book Review: Ghost Work
Book: Mary L. Gray and Siddharth Suri. Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass. Houghton Mifflin Harcourt, 2019. Link: HMH Books
Paper Review: AI Market Concentration
Paper: Anton Korinek and Jai Vipra. "Concentrating Intelligence: Scaling and Market Structure in Artificial Intelligence." Economic Policy , January 2025. Earlier versions: "Market Concentration Implications of Foundation Models: The Invisible Hand of ChatGPT," Brookings Institution, 2023. Links: Economic Policy | NBER Working Paper | Brookings
Paper Review: Open (For Business)
Paper: David Gray Widder, Dawn Nafus, and Phoebe Sengers. "Open (For Business): Big Tech, Concentrated Power, and the Political Economy of Open AI." Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (FAccT '23) , June 2023. Link: ACM Digital Library
Book Review: Power and Progress — Our Thousand-Year Struggle Over Technology and Prosperity
Book: Daron Acemoglu and Simon Johnson. Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity . PublicAffairs, 2023. Link: Publisher
Paper Review: Sparks of AGI — A Premature Conclusion
Paper: Sebastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, Harsha Nori, Hamid Palangi, Marco Tulio Ribeiro, and Yi Zhang. "Sparks of Artificial General Intelligence: Early experiments with GPT-4." arXiv preprint , 2023. Link: arXiv
Paper Review: On the Dangers of Stochastic Parrots
Paper: Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. "On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?" Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency , 2021. Link: ACM Digital Library